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The Distributed Data Show

The Distributed Data Show is your weekly source for the latest news and technical expertise to help you succeed in building large-scale distributed systems. Brought to you by the DataStax Developer Advocate team, we go in-depth with DataStax engineers and special guests from the broader data community. New episodes each Tuesday.

DuyHai Doan and Patrick McFadin explain the primary two ways of distributing data used in computer science: hash-based partitioning and range-based partitioning, and the implications of each of these on operations (hint: rebalancing!).

Luke Tillman and DuyHai Doan talk about why pre-aggregation is difficult on an eventually consistent database like Apache Cassandra, and debate whether the storage engine in Cassandra should be made pluggable.

Wei Deng talks about the challenges involved in securing distributed databases, the latest security features in DataStax Enterprise, and recommended techniques to help you and your company stay out of the headlines.